MAMA Research Agenda

Transcription

Research Agenda
2015
Acknowledgements
On behalf of the entire Mobile Alliance for Maternal Action (MAMA) family, we want to thank the MAMA founding
partners for their visionary leadership and support for the evaluation and research efforts undertaken with the
MAMA Country Programs. We would especially like to thank the U.S. Agency for International Development,
Johnson & Johnson, the Translating Research into Action Project, the World Health Organization’s Innovations
Working Group as well as the Johns Hopkins Bloomberg School of Public Health for their financial and/or advisory
support of these research studies.
Recognition is due to all of the MAMA research and evaluation partners for their tireless efforts in carrying out
these studies, including International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) Wits
Reproductive Health and HIV Research Institute (South Africa) and The Foundation for Research in Health Systems
(India). Special gratitude also goes to Dr. Patricia Mechael at the United Nations Foundation for her vision and
guidance in the research study designs and in the development of this research agenda.
We would also like to acknowledge the lead implementing partners of the MAMA Country Programs, who have
worked closely with the research partners to ensure that the design and methodologies used are in line with the
program strategies and goals. They are: Dnet in Bangladesh, Praekelt Foundation in South Africa and Advancing
Reduction in Mortality and Morbidity of Mothers, Children and Neonates (ARMMAN) in India.
Founding partners:
Implementing partners:
Research partners:
MAMA Research Agenda, March 2015
i|Page
Contents
Introduction .......................................................................................................................................................... 1
MAMA Levels of Change and Priority Outcomes ............................................................................................. 1
Current Evidence .............................................................................................................................................. 3
Early Evidence from MAMA.............................................................................................................................. 5
MAMA Outcome-Level Research .......................................................................................................................... 7
Contribution vs. Attribution ............................................................................................................................. 8
Domains and Data Sources ............................................................................................................................... 8
Cost Utility ...................................................................................................................................................... 10
Conclusion........................................................................................................................................................... 11
Annex 1: Evidence Hierarchy …………………………………………………………………………………………………………………….... 12
ii | P a g e
List of Acronyms
ANC
Antenatal Care
ARV
Antiretrovirals
Hb
Hemoglobin
HH
Household
IVR
Interactive Voice Response
KABP
Knowledge, Attitude, Behaviors and Practices
LiST
Lives Saved Tool
MAMA
Mobile Alliance for Maternal Action
MNCH
Maternal, Neonatal and Child Health
PMTCT
Prevention of Mother-to-Child Transmission
PNC
Post-natal Care
RCT
Randomized Control Trial
SMS
Short Message Service/Text Message Service
Tx
Treatment
iii | P a g e
Introduction
The Mobile Alliance for Maternal Action (MAMA) aims to improve the health and well-being of pregnant
women and their newborns and infants through age- and stage-based messages delivered via mobile phones.
The MAMA model is based on the expectation that women’s and families’ increased access to targeted
health information will lead to improved knowledge, behaviors and practices, and in turn, those
improvements will lead to improved health outcomes. Each of MAMA’s three current country programs –
Bangladesh, South Africa and India – has identified priority intermediate-level health outcomes related to
change in knowledge, at-home preventive behaviors and seeking of health services that are measurable,
relevant and within the realm of influence of each MAMA program.
In order to provide evidence of change through MAMA’s programs, the MAMA Global team has been
working with research partners in each country to develop rigorous study designs to evaluate MAMA’s
impact on priority health and behavior outcomes. The socio-cultural and health system contexts vary greatly
throughout Bangladesh, South Africa, and India, resulting in distinct messaging content and implementation
approaches. Relevant health and behavior outcomes have been prioritized and serve as the basis for setting
the research agenda for each country program.
In this effort, local research institutions have been supported to design and lead independent impact studies.
While initial formative research focused on usability, feasibility and user satisfaction, MAMA now has ongoing and planned trials measuring targeted behavior and health outcomes in each country.
MAMA Levels of Change and Priority Outcomes
The MAMA program components and strategies in Bangladesh, South Africa, and India are maturing and the
number of subscribers continue to grow. These programs offer optimal conditions to explore research
questions on effectiveness in fostering behavior change. MAMA research teams have prioritized local health
issues, domains and levels of change to be tested and explored by research partners. Figure 1 below maps
the levels of change intended from a MAMA program along with the corresponding health issues and
domains prioritized for research. It is a compilation of measurable health inputs, outputs, outcomes, and
impact measures.
The base of the framework illustrates inputs and outputs related to increasing women’s access to
information. Research questions along this level rely on operational data collected through the delivery of
the messaging program. Most formative research studies focus on this level, exploring questions of customer
acquisition strategies, cultural appropriateness, trust, satisfaction, comprehension of messages, and peer
promotion of the service. Most of the early MAMA research focused on this level of change and progress.
Many additional questions on this level have not yet been explored but remain important to the mHealth
sector, including: What do best practices look like for linking or integrating with national health systems?
What effect does subscribership in mHealth messaging programs have on mobile phone literacy and use of
other mobile services, including mobile money?
1|Page
Figure 1: Levels of Change and Priority Outcomes
Formative research findings indicate that MAMA subscribers feel more confident and aware of health issues,
needs and related services. However, the middle level of our framework has informed more questions that
new in-depth studies seek to answer by linking knowledge, behaviors and actions. MAMA research teams
have designed and are currently implementing studies to assess whether MAMA mobile messaging programs
are affecting the health-related actions of new and expecting mothers. Emerging questions include: Does
increased awareness translate into improved self-efficacy? How are the messages used to support householdlevel discussions on health-related planning and actions? How are the messages affecting discourse on
parental gender roles?
The ultimate goal of any health behavior change effort is to improve behaviors known to reduce conditions
and risks linked to death or a compromised quality of life. The top level of our framework highlights biological
markers related to country-specific health priorities that each MAMA Country Program is designed to
address. For South Africa, prioritized health outcomes primarily focus on the prevention of mother to child
transmission of HIV (PMTCT). In India, the health priorities are related to anemia as well as child nutrition and
growth. For Bangladesh, the health outcomes of interest cut across the maternal, newborn, and child health
continuum of care. The research studies will track and compare changes in biological markers as key
outcomes to assess effectiveness of the MAMA programs. All studies are designed to include statistically
significant samples, scientific comparators and high confidence levels. Findings from MAMA Bangladesh and
MAMA South Africa are planned to be shared in 2015, and India will follow in 2016.
2|Page
Current Evidence
While there is general consensus on the potential of mobile messaging programs to improve MNCH and focus
groups and one-on-one interviews show positive impacts, the mHealth sector still lacks rigorous, quantitative
evidence linking mobile messaging programs to significant changes in behavioral, and more importantly,
health outcomes. Among other things, this evidence gap limits the integration or mainstreaming of mobile
messaging strategies into national health systems.1
In 2013, the US Government and UNICEF convened a summit of health communication experts to review
evidence associated with population-level behavior changes necessary to advance child survival and healthy
development in children under 5 years of age in low- and middle-income countries. A discussion paper
followed in the Journal of Health Communication posits that there is evidence to demonstrate effectiveness
in changing cognitive abilities, knowledge, and attitudes, but the evidence remains minimal for behaviors
linked to child survival2. Below are the experts’ recommendations based on their review of the evidence:
1.) Mobile messaging programs should be integrated with broader health systems programs; and
2.) Studies on program effectiveness and implementation science for optimal scaling should be
prioritized for research.3
To track the evolving evidence on the effects of mobile messaging on MNCH, the MAMA Global team maps
and ranks the evidence along a hierarchy of scientific rigor (See Table 1).
1 Jo
Y, Labrique AB, Lefevre AE, Mehl G, Pfaff T, et al. (2014) Using the Lives Saved Tool (LiST) to Model mHealth Impact on
Neonatal Survival in Resource-Limited Settings. PLoS ONE 9 (7): e102224.
2
Higgs ES, Goldberg AB, Labrique AB, Cook SH, Schmid C, Cole CF, Obregon R. Understanding the Role of mHealth and Other
Media Interventions for Behavior Change to Enhance Child Survival and Development in Low- and Middle-Income Countries: An
Evidence Review. Journal of Health Communication. 2014;19:164-189.
3 Ibid.
3|Page
Table 1: Evidence Hierarchy of Mobile Messaging for MNCH
4|Page
This hierarchy illustrates several important studies revealing significantly improved care-seeking by mothers
enrolled in mobile messaging programs. Most notable are the randomized controlled trials carried out to
examine effects of mobile messaging programs in Malawi and Zanzibar. In Malawi, an external evaluation
study of the Chipatala Cha Pa Foni project demonstrated increased uptake of proven home- and facilitybased practices among the intervention group, using a sample size of more than 6,000 women.4 In Zanzibar, a
pilot study conducted on the Wired Mothers intervention by researchers from the University of Copenhagen
found that the mobile service significantly increased the proportion of women receiving recommended
antenatal care and delivering with a skilled birth attendant, with more women receiving preventive health
services, and more women with antepartum complications identified and referred.5
This evidence, however limited, can be used to inform governments, donors, implementers and other
industry partners as they invest in further mobile messaging interventions and additional rigorous research
studies.6 There are increasing signs of maturity as mHealth strategies are considered more seriously for lowand middle-income country contexts, e.g., donors are providing support for more robust studies to measure
effectiveness and costs and academic institutions and other global health agencies are increasingly
conducting reviews of the latest evidence.7
Early Evidence from MAMA
MAMA’s early findings from formative research where small numbers of subscribers were sampled and the
research objectives focused on satisfaction, acceptability and usability of the service, the technology and the
messaging content. Enrollment data continues to be analyzed to understand the extent to which subscribers
belong to the population groups targeted in each country. The early MAMA findings have been positive and
encouraging regarding subscribers’ satisfaction and trust in the service; however, the findings remain at the
lower-level types of scientific rigor. While structured and systematic, survey methods used lacked significant
sample sizes as well as scientific comparators (i.e., a baseline or a control group) at the outcome level.
The Evidence Hierarchy document (Annex 1) details primary data gathered and released thus far by MAMA
Country Program research teams in Bangladesh and South Africa.
4
Watkins, Susan Cotts; Robinson, Amanda and Dalious, Michael. "Evaluation of the Information and Communications
Technology for Maternal, Newborn and Child Health Project" Invest in Knowledge Initiative, December 2013.
5
Lund et al, "Mobile phones improve antenatal care attendance in Zanzibar: a cluster randomized controlled trial" BMC
Pregnancy and Childbirth 2014, 14:29 (17 January 2014)
Lund S, Hemed M, Nielsen B, Said A, Said K, Makungu M, Rasch V. “Mobile phones as a health communication tool to improve
skilled attendance at delivery in Zanzibar: a cluster-randomised controlled trial.” BJOG 2012;119:1256–1264.
6 Philbrick, W.C., “mHealth and MNCH, State of the Evidence”, mHealth Alliance and United Nations
Foundation, January 2013,
page 6.
7
Agarwal S, Labrique A. Newborn Health on the Line; the Potential mHealth Applications. Journal of American Medical
Association. 2014;312(3):229-230.
5|Page
Table 2: Hierarchy of MAMA Evidence
6|Page
MAMA Outcome-Level Research
MAMA has entered a new phase of research where research partners are exploring the effectiveness of the
MAMA programs in improving knowledge, behavior, and practices that are linked to improved health status.
In India and South Africa, this research also includes questions around the cost utility of the MAMA program.
The table below provides an overview of the studies currently underway in Bangladesh, South Africa and
India.
Bangladesh
Table 3: MAMA’s Current Outcome-level Studies
Research Questions
Methodology
Timeframe
1) Does the messaging program have a positive
impact on a mother’s antenatal and postnatal care
practices?
Qualitative studies using semistructured interviews, focus groups, and
key informant interviews.
2012 – 2015
2) For those women who adhere to the
recommendations, do they have a positive impact
on their health, and the health of their child?
Quantitative study using retrospective
observational study with propensity
score matching of treatment and
standard of care groups.
3) What aspects of the messaging are most
effective in prompting women who are enrolled to
take action?
South Africa
1) What is the effect of dosage/exposure of stagebased text messages on improving MNCH
outcomes?
2) Does co-enrollment into a text message and
mobi- platform service improve infant health
(immunizations) and maternal outcomes (ANC
attendance), compared to a historical cohort of
pregnant women that received the standard of
care?
Due to the launch of MomConnect in
South Africa, study of the SMS program
is retrospective. The methodology
includes:
-
-
3) What are the cost and outcome differences
between the intervention and standard of care?
2014 - 2015
Clinical records review of
treatment and standard of care
groups
Semi-structured interviews
(post-intervention)
Analysis of intervention and
standard of care costs
7|Page
India
Research Questions
Methodology
Timeframe
Does the intervention lead to:
A prospective cohort study, using
intervention and control design. The
methodology includes:
2015 - 2016
1. An increase in uptake of routine and riskrelated health services by women during
pregnancy and until the baby is one year old?
2. Improvements in hemoglobin levels at the time
of delivery?
3. A reduction in infant under-nutrition?
-
-
-
Clinical records review of
treatment and standard of care
groups
Semi-structured interviews (preintervention and after baby turns
one year old)
Analysis of intervention and
standard of care costs
Contribution vs. Attribution
Social and behavioral change are seldom attributable to one factor; hence, MAMA Country Programs’
research studies are geared for measuring contribution to outcome-level impact as opposed to attribution.
The complex nature of the social environments make it difficult to attribute any change to the mobile
messaging service alone. Causal explanations in MAMA evaluation studies would be overly ambitious or
simplistic due to many influencing variables, especially considering that most MAMA country contexts have
many actors undertaking a variety of efforts aimed at improving knowledge, behaviors and practices relating
to maternal and child health. It is also rare that a demand generation initiative is not paired with the
appropriate supply-side response. Thus, the aim of the MAMA studies is to ascertain the correlation between
mobile messaging and key behaviors and outcomes of interest.
Domains and Data Sources
The main maternal actions of interest for MAMA programs occur in two main domains: in the household and
in the health facility. Potential changes related to MNCH within the household domain include control and
influence over household expenditures and health-related decisions, self-care, caregiving to infants, and
support for uptake of clinical services. The best possible source of information about these household level
actions and changing dynamics are the women and household members themselves. These data are
gathered using a variety of quantitative and qualitative methodologies in all three current studies.
Clinical records and registers are often the most reliable source of information on health services attended
and clinical outcomes. While clinic records can have fundamental data quality weaknesses, such as
completeness, these sources can be incredibly informative in terms of when individuals accessed various
preventive and curative services as well as data on the health status of the mother and baby. Before research
teams embark on studies that rely upon clinical records as a source, a review of a sample of records is
conducted to assess the viability of the records as a source.
8|Page
In India, anemia is one of the main direct causes of delivery complications and maternal death. Early
identification of severe anemia and regular monitoring of treatment is important for safe delivery for mother
and child. Thus, the MAMA program in India gives a great deal of importance to the prevention and
treatment of anemia. Figure 2 below illustrates how the different levels of change across the household and
clinic domains could jointly contribute to improvement in a woman’s hemoglobin levels.
Figure 2: Example of Potential Pathway of Change (Hemoglobin levels)
MAMA research partners in India and South Africa have identified key data points within clinical and patient
records that will be used to validate self-reported claims of certain behaviors and practices, especially the
uptake of MNCH-related clinical services.
Table 4 below reveals the prioritized health and behavioral outcomes and sources used to collect data on
both MAMA subscribers and nonsubscribers. Clinical records are available in India and South Africa to explore
the level of change beyond the self-reported, such as actual services attended and when, as well as results of
biological marker tests.
9|Page
Table 4: Prioritized Health and Behavior Outcomes
Cost Utility
In addition to the studies on health and behavior outcomes of MAMA users, research teams in South Africa
and India will also undertake cost utility analyses of the MAMA programs in those countries. They will do so
by assessing the cost of delivering the messaging service alongside the health outcomes experienced by those
in the intervention groups as compared to the control groups. This component leverages the Lives Saved Tool
and is intended to help inform health policy makers and program managers.
10 | P a g e
Conclusion
MAMA has prioritized assessing the effectiveness and impact of its country program interventions in
Bangladesh, South Africa and India, as well as any future country program. Each country research team has
designed a mixed-methods experimental study that maps to the overall MAMA research framework and
applies similar quantitative methodologies to enable comparisons to be made between MAMA country
programs. These studies include statistically significant samples with control groups, to improve the quality of
scientific rigor being used to evaluate the interventions. The ultimate aim of this effort is to contribute to the
evidence base for mHealth and MAMA’s momentum toward scale, sustainability and integration as part of
countries’ standards of practice. The priorities for these studies include the use of clinical data on services
and biological markers to validate self-reported claims of behavior change. When possible, cost utility studies
of the interventions have also been incorporated. Findings of this research is planned to be disseminated
directly through MAMA publications and through the submission of abstracts and papers to peer-reviewed
journals.
11 | P a g e
12 | P a g e
13 | P a g e

MAMA Research Agenda

Transcription

Similar documents

ASK TIFFANY tiffany St. John answers your

employment application

by Farah Farooqi Illustrations by Melinda Beavers

The Art of Ama Ata Aidoo - Film and Discussion

Monthly Newsletter - Roots Public Charter School

Count Droffig`s story begins with a childhood tragedy

Conscious Working Mama Wheel.

Maheshwari Vivah samiti, Jalna.

Front Line of Comedy

[WEB]_XAOzine16